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Understanding SCADA and data loggers

Describe the importance of accurate data collection, as well as identify the basics of SCADA systems and different types of data loggers.


00:03

The quality of observational data directly affects

00:06

the accuracy of a network model,

00:09

inaccurate missing or misunderstood data drastically

00:13

changes a model's configuration and calibration

00:16

SCADA

00:17

or supervisory control.

00:19

And data acquisition refers to the system of computers

00:22

and instruments that controls or monitors a process.

00:27

Keta can refer to a system that monitors an entire treatment

00:30

works or it can refer to a simple pump control.

00:34

The primary benefit of SK systems is the ability to

00:37

control or monitor a plan remotely instead of on site.

00:41

Telemetry refers to any data collected by a SCADA

00:44

system

00:46

once collected.

00:47

This data is often communicated from the site to a centralized data storage server

00:53

because SK systems can also control equipment.

00:56

It is essential that the rules provided to the system

00:59

are matched in the model as closely as possible.

01:02

Logic is implemented via programmable logic

01:05

controllers or plc's which determine what actions

01:08

the system should take based on inputs and rules provided to it.

01:13

Another important tool to consider when working

01:15

with network modeling is the data logger.

01:19

Data loggers are portable low cost battery powered devices that are often

01:23

used within the water distribution network to record flow and pressure.

01:29

Data loggers are typically less reliable than SCADA

01:32

for data delivery.

01:34

In the past,

01:35

many data loggers stored data in such a way

01:37

that manual downloading was required with limited storage.

01:41

Now,

01:41

almost all data loggers are cloud based or they send data via cellular networks.

01:48

Data loggers are mostly permanently installed

01:50

devices such as district flow meters,

01:53

but some are lift in shift devices that can be

01:55

moved around for a specific goal such as network calibration

02:00

understanding data is critical to using it in the correct way.

02:05

In the water industry.

02:06

Data is typically used as a time series which means a property

02:10

is tracked over time at a given interval called a sample rate.

02:15

This sample rate is often 15 minutes.

02:18

Although some sources record an instantaneous

02:21

sample while others will be averaged,

02:24

accurate pressure measurements are also critical to network modeling,

02:27

especially when calibrating networks or isolating head loss.

02:32

An accurate pressure measurement depends upon the

02:34

accuracy of the sensor which is specified

02:37

by the manufacturer as a percentage error of a sensor's full scale accuracy.

02:42

Another consideration is whether the sensor records absolute or gauge pressure.

02:48

When measuring an enclosed pressurized system,

02:51

emphasis is placed on the pressure of the fluid relative to the sampling point.

02:56

Because of this,

02:56

most pressure sensors used are gauge pressure

02:59

which records zero at or near atmospheric pressure

03:03

because atmospheric pressure varies by location and altitude devices that

03:08

are zeroed in different places may produce inconsistent results.

03:13

Finally, there are two types of signals from flow meters

03:16

pulses and 4 to 20 milli

03:19

ap

03:19

signals.

03:20

A 4 to 20 milli

03:22

ap signal is generated by an electromagnetic flow meter

03:25

typically at a treatment works or water distribution site

03:29

pulses are typically obtained from bulk flow meters and customer meters.

03:33

A pulse reports that a specific volume of

03:36

water has passed through the meter since the

03:38

last pulse which can limit their use when recording lower flows where 4 to 20 milli

03:43

signals update at fixed intervals providing an accurate instantaneous flow rate.

Video transcript

00:03

The quality of observational data directly affects

00:06

the accuracy of a network model,

00:09

inaccurate missing or misunderstood data drastically

00:13

changes a model's configuration and calibration

00:16

SCADA

00:17

or supervisory control.

00:19

And data acquisition refers to the system of computers

00:22

and instruments that controls or monitors a process.

00:27

Keta can refer to a system that monitors an entire treatment

00:30

works or it can refer to a simple pump control.

00:34

The primary benefit of SK systems is the ability to

00:37

control or monitor a plan remotely instead of on site.

00:41

Telemetry refers to any data collected by a SCADA

00:44

system

00:46

once collected.

00:47

This data is often communicated from the site to a centralized data storage server

00:53

because SK systems can also control equipment.

00:56

It is essential that the rules provided to the system

00:59

are matched in the model as closely as possible.

01:02

Logic is implemented via programmable logic

01:05

controllers or plc's which determine what actions

01:08

the system should take based on inputs and rules provided to it.

01:13

Another important tool to consider when working

01:15

with network modeling is the data logger.

01:19

Data loggers are portable low cost battery powered devices that are often

01:23

used within the water distribution network to record flow and pressure.

01:29

Data loggers are typically less reliable than SCADA

01:32

for data delivery.

01:34

In the past,

01:35

many data loggers stored data in such a way

01:37

that manual downloading was required with limited storage.

01:41

Now,

01:41

almost all data loggers are cloud based or they send data via cellular networks.

01:48

Data loggers are mostly permanently installed

01:50

devices such as district flow meters,

01:53

but some are lift in shift devices that can be

01:55

moved around for a specific goal such as network calibration

02:00

understanding data is critical to using it in the correct way.

02:05

In the water industry.

02:06

Data is typically used as a time series which means a property

02:10

is tracked over time at a given interval called a sample rate.

02:15

This sample rate is often 15 minutes.

02:18

Although some sources record an instantaneous

02:21

sample while others will be averaged,

02:24

accurate pressure measurements are also critical to network modeling,

02:27

especially when calibrating networks or isolating head loss.

02:32

An accurate pressure measurement depends upon the

02:34

accuracy of the sensor which is specified

02:37

by the manufacturer as a percentage error of a sensor's full scale accuracy.

02:42

Another consideration is whether the sensor records absolute or gauge pressure.

02:48

When measuring an enclosed pressurized system,

02:51

emphasis is placed on the pressure of the fluid relative to the sampling point.

02:56

Because of this,

02:56

most pressure sensors used are gauge pressure

02:59

which records zero at or near atmospheric pressure

03:03

because atmospheric pressure varies by location and altitude devices that

03:08

are zeroed in different places may produce inconsistent results.

03:13

Finally, there are two types of signals from flow meters

03:16

pulses and 4 to 20 milli

03:19

ap

03:19

signals.

03:20

A 4 to 20 milli

03:22

ap signal is generated by an electromagnetic flow meter

03:25

typically at a treatment works or water distribution site

03:29

pulses are typically obtained from bulk flow meters and customer meters.

03:33

A pulse reports that a specific volume of

03:36

water has passed through the meter since the

03:38

last pulse which can limit their use when recording lower flows where 4 to 20 milli

03:43

signals update at fixed intervals providing an accurate instantaneous flow rate.

The quality of observational data directly affects the accuracy of a network model. Inaccurate, missing, or misunderstood data drastically changes the configuration and calibration of a model.

A presentation slide displaying information about SCADA.

A presentation slide displaying information about data loggers.

A presentation slide displaying information about sample rates and pressure measurements.

A presentation slide displaying information about the two types of signals from flow meters.

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